Basics of Big Data - Building a Hadoop data warehouse
This is the 3rd part of a series of posts on Big Data. Read Part-1 (What is Big Data) and Part-2 (Hadoop). Traditionally data warehouses have been built with relational databases as backbone. With the new challenges (3Vs) of Big Data, relational databases have been falling short of the requirements of handling New data types (unstructured data) Extended analytic processing Throughput (TB/hour loading) with immediate query access The industry has turned to Hadoop as a disruptive solution for these very challenges.